Measuring Three Levels of Mastery Students can show proficiency of academic skills at learning, functional, and nuanced levels Overview School officials at Bronx Arena recently transformed their definition of mastery. Their previous system relied on binary measurements, determining whether students were proficient or not.
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Mastery courses are special types of courses that require students to demonstrate synthesis of the major theories, methods and approaches to inquiry and/or schools of practice necessary for entry into a particular career in the information professions.
Mastery challenges are personalized to each student, reviewing skills that the student has worked on across the entire course. Mastery challenges review 3 skills in each challenge, devoting 2 questions to each skill: If a student answers both questions correctly, they level up in that skill.
As you practice skills and answer questions, your mastery level for each skill will go up, if you answered correctly, or down, if you miss questions. If you want to make progress more quickly, try a Mastery challenge. Mastery challenges allow you to strengthen the skills you've already practiced in just six questions.
every 16 hoursMastery Challenges Users get a mastery challenge every 16 hours, but they won't if user doesn't have practiced skills available. User can also get the Geek of the week: mastery badge by completing 5 mastery challenges in a week and Geek of the week: practice by completing 5 practice tasks in a week.
One way to get the badge is to watch at least 5000 videos and acquire at least 300 299,792,458 Meters per Second badges in exercises. This is the only Black Hole badge that does not give users any energy points when obtained.
There are five primary levels of badges.
Khan Academy is an online learning platform offering instructional videos on subjects like mathematics, economics, computer science, and more. As a nonprofit, Khan Academy makes money via donations, tuition fees from its Khan Lab School, and compensation for its SAT prep courses.
Black Hole badges are legendary and unknown. They are the rarest Khan Academy awards. This is the fifth tier of Khan Academy badge system.
Averaging two questions per topic and taking one minute per question, that's 780 minutes and you're done in 13 hours.
Course mastery on Khan Academy, is a feature that allows teachers to set and track long term learning goals for students, while encouraging students to work at their own pace.
Black Hole badges are legendary and unknown. They are the rarest Khan Academy awards. This is the fifth tier of Khan Academy badge system.
Averaging two questions per topic and taking one minute per question, that's 780 minutes and you're done in 13 hours.
Khan Academy is an online learning platform offering instructional videos on subjects like mathematics, economics, computer science, and more. As a nonprofit, Khan Academy makes money via donations, tuition fees from its Khan Lab School, and compensation for its SAT prep courses.
Master’s in Data Science. This collaborative degree program is jointly owned by Computer Science and Engineering, the Department of Statistics, the School of Information, and the Department of Biostatistics.
Data Science is often viewed as the confluence of (1) Computer and Information Sciences (2) Statistical Sciences, and (3) Domain Expertise. These three pillars are not symmetric: the first two together represent the core methodologies and the techniques used in Data Science, while the third pillar is the application domain to which this methodology is applied.
This mastery course is designed for students to demonstrate their knowledge and skills in digital curation through the completion of a client-based project with a specific outcome. Working in independently or in small teams, students will work with a client on a digital curation problem, such as:
This mastery course provides students the opportunity to develop and demonstrate mastery in User Experience (UX) research and design. This includes the application of cross-disciplinary design theories, concepts, and principles in semester-long group projects (client or student-created) to:
The big data analytics mastery course will require students to demonstrate mastery of data collection, processing, analysis, visualization, and prediction. To develop these skills students will work on semester-long projects that deal with large or industry-scale data sets, and solve real-world problems. Aligned with best industry practices, students will be expected to work in a fast-paced, collaborative environment, while demonstrating independence and leadership. Students must be able to create and use tools to handle very large transactional, text, network, behavioral, and/or multimedia data sets.
This mastery course prepares students for careers in librarianship, archives, and cultural heritage collections management, representation, access, and/or preservation. It is designed for students to demonstrate their knowledge and skills through completion of a client-based project with a specific outcome. Students will work with one client on a specific problem in archival or library setting, such as:
This course will require you to demonstrate mastery in the application of UX design and research theories, concepts, and principles. You will: 1 Define a problem that you would like to solve using human-centered practices. You will conduct research to uncover user needs, articulate service requirements, and document your results. 2 Propose a design approach that addresses your findings. You will develop concepts, prototype, and refine them. 3 Communicate design solutions to stakeholders. You will get several opportunities to hone your message and create deliverables that are resonant.
This is a mastery course for students interested in pursuing a career in software product development with a UX focus. Students will work in groups of 4-6 on a semester-long project with an external client, integrating UX research and design methods with agile software development, with the goal of producing and alpha testing a Minimally Viable Prototype by the end of the course.
Mastery is defined as a student’s ability to do a task, solve a problem, produce an outcome, design a product, deliver a service, etc. at the level comparable to or exceeding a well-launched beginner in a field, profession or discipline. Mastery courses require a high level of independence from students. Instructors assume the role of mentor, ...
2. Self-regulation and goal-oriented strategies are crucial skills for success in a mastery-based setting.
Research shows that there is a disparity in development of metacognition (ability to define and direct one’s own thought process) strategies and language skills that is directly correlated to family income and education.
The practice of promoting students based on their age, minimum achievement or seat time, which can lead to learning gaps, is therefore eliminated. All students are held to the same high expectations with instruction individualized to meet each student's strengths and challenges.
MBL provides an environment that will help students from all socioeconomic, racial, ethnic and linguistic backgrounds, including those with disabilities. This environment will allow students to reach essential academic standards that will prepare them for a productive life beyond graduation from high school.
Rigorous, flexible learning opportunities prepare students for college, careers and civic life. Paths to completion are flexible to meet student needs and interests. Learning takes place through realworld application and is not constrained by time and place. Instruction is fundamentally designed around the learner.
The State Board of Education Guidelines are designed as an effort to support local decisions regarding policy, practice and community engagement. The guidelines are developed so that student expectations for Mastery- Based Learning (MBL) align with state content standards. They also include provisions for multiple pathways for learning ...
In accordance with the Connecticut General Statutes (C.G.S.) Section 10-221a (f) (3) passed by the Connecticut State Legislature, the Connecticut State Department of Education (CSDE) is required to create and distribute guidance to support educators in schools and districts interested in implementing a mastery-based system as follows:
This mastery course is designed for students to demonstrate their knowledge and skills in digital curation through the completion of a client-based project with a specific outcome. Working in independently or in small teams, students will work with a client on a digital curation problem, such as:
This mastery course provides students the opportunity to develop and demonstrate mastery in User Experience (UX) research and design. This includes the application of cross-disciplinary design theories, concepts, and principles in semester-long group projects (client or student-created) to:
The big data analytics mastery course will require students to demonstrate mastery of data collection, processing, analysis, visualization, and prediction. To develop these skills students will work on semester-long projects that deal with large or industry-scale data sets, and solve real-world problems. Aligned with best industry practices, students will be expected to work in a fast-paced, collaborative environment, while demonstrating independence and leadership. Students must be able to create and use tools to handle very large transactional, text, network, behavioral, and/or multimedia data sets.
This mastery course prepares students for careers in librarianship, archives, and cultural heritage collections management, representation, access, and/or preservation. It is designed for students to demonstrate their knowledge and skills through completion of a client-based project with a specific outcome. Students will work with one client on a specific problem in archival or library setting, such as:
This course will require you to demonstrate mastery in the application of UX design and research theories, concepts, and principles. You will: 1 Define a problem that you would like to solve using human-centered practices. You will conduct research to uncover user needs, articulate service requirements, and document your results. 2 Propose a design approach that addresses your findings. You will develop concepts, prototype, and refine them. 3 Communicate design solutions to stakeholders. You will get several opportunities to hone your message and create deliverables that are resonant.
This is a mastery course for students interested in pursuing a career in software product development with a UX focus. Students will work in groups of 4-6 on a semester-long project with an external client, integrating UX research and design methods with agile software development, with the goal of producing and alpha testing a Minimally Viable Prototype by the end of the course.
Mastery is defined as a student’s ability to do a task, solve a problem, produce an outcome, design a product, deliver a service, etc. at the level comparable to or exceeding a well-launched beginner in a field, profession or discipline. Mastery courses require a high level of independence from students. Instructors assume the role of mentor, ...